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GitHub Stars are excluded — popularity does not prove a project is still alive.
Checked 2026-06-16 · Formula & source · tool_master CSV
web-search-mcp — ToolStack Analysis
Key Strengths
- Provides free access to web search, image search, and content fetching via SearXNG.
- Eliminates the need for paid third-party search API keys.
- Built as a standardized Model Context Protocol (MCP) server for easy integration.
Key Limitations
- The project shows extremely low activity with no clear long-term maintenance roadmap.
- Lack of a public GitHub repository makes auditing the source code or contributing impossible.
- Limited community feedback and zero documentation increase the risk of integration failure.
Angel — when it fits
- It lets you hook up SearXNG to your MCP-compatible agents for free, which is pretty sweet if you want to avoid paying for expensive search APIs.
- It’s lowkey a solid choice if you're just messing around with local LLM experiments and need basic web search capabilities without setting up keys.
Devil — when it does not
- Ngl, with a TS Score of 30, it feels like a abandoned project; don't count on it for anything mission-critical.
- It sucks that there's zero documentation or active community support, so you're basically on your own if it breaks.
web-search-mcp offers a straightforward way to integrate web search capabilities into your Model Context Protocol (MCP) agents. By leveraging SearXNG, it provides a free gateway to search results, image lookups, and content scraping without requiring any API keys. This tool is primarily designed for developers working within the MCP ecosystem who need a quick and cost-effective search integration for their AI workflows.
| Item | Value |
|---|---|
| Type | mcp |
| Price | free |
| GitHub Stars | 0 |
| Latest Commit | 2026-06-16 |
| License | N/A |
| Primary Language | Python |
| TS Score | 30 / 100 |
| Official Link | https://glama.ai/mcp/servers/z7cxlt21zt |
| GitHub | N/A |
Community reaction
1. A single mention on Hacker News suggests interest in the MCP ecosystem but lacks specific implementation feedback.
2. No active discussions on Stack Overflow indicate a lack of user base for troubleshooting common issues.
3. Taken together, web-search-mcp is a niche experimental tool for hobbyists, and it is risky for production environments.
Source: Hacker News (90-day data)
